AI tool comparison
last30days-skill vs WorldMonitor
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Research Tools
last30days-skill
Research any topic across 10+ platforms from the last 30 days
75%
Panel ship
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Community
Free
Entry
last30days-skill is an AI agent skill that aggregates, deduplicates, and synthesizes recent discussions about any topic from Reddit, X/Twitter, YouTube, Hacker News, Polymarket, Bluesky, TikTok, and Instagram simultaneously. The core value proposition: instead of manually searching eight platforms and stitching together what people are actually saying, you ask once and get a grounded summary with citations ranked by engagement and cross-platform convergence. The ranking system is unusually sophisticated for a community project—it combines text similarity, engagement velocity, source authority, and cross-platform convergence detection (penalizing topics that only appear on one platform). For prediction markets, it evaluates topics as outcomes within broader events rather than naive title matching. A handle resolution feature identifies X/Twitter accounts from natural language names alone. Zero configuration is needed for Reddit, HN, and Polymarket; unlocking other sources requires API keys from ScrapeCreators and Exa. The project reached 18k stars in its first week, largely driven by prompt researchers discovering it surfaces "what actually works" for tools like ChatGPT or Midjourney. Results auto-save to ~/Documents/Last30Days/ by default, and a watchlist mode supports scheduled topic monitoring with an external cron scheduler.
Research
WorldMonitor
Real-time global intelligence dashboard with 45 data layers and local AI analysis
75%
Panel ship
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Community
Free
Entry
WorldMonitor is an ambitious solo-built open-source project that aggregates 500+ news and data feeds across 15 categories — geopolitical events, financial markets, military movements, infrastructure alerts, disease outbreaks, space events, and more — into a single real-time dashboard with a 3D interactive globe at its center. Each country gets a dynamic risk score. Events are geolocated and pinned to the globe. You can drill into any region for a synthesized AI briefing. The AI analysis layer runs entirely on Ollama — no API key, no external cloud calls. The system connects to your local Ollama instance and uses whichever model you prefer to generate briefings, summaries, and threat assessments from the aggregated feeds. The globe itself renders 45 switchable data layers including conflict zones, trade routes, weather systems, submarine cable infrastructure, and satellite coverage maps. The project launched on GitHub four days ago and already has over 51,000 stars — one of the fastest-growing repos this week. It's AGPL-3.0 for personal use (commercial license required for business deployment). The real story is what it reveals about the appetite for serious geopolitical and global risk tooling outside the expensive Bloomberg/Palantir tier — and the fact that a small team built something this polished as an open-source first release.
Reviewer scorecard
“The cross-platform convergence scoring is clever—topics that only trend on one platform get penalized, which filters out astroturfing and PR-driven hype. The handle resolution for X accounts is a nice touch for competitive intelligence workflows where you know a person's name but not their handle.”
“The feed aggregation architecture is solid — 500+ sources with deduplication and geolocation, all queryable via a local API. I've already written a Python script to pull conflict alerts into my own alerting system. The Ollama integration is clean, and the AGPL license doesn't matter for personal use. This took one developer a few months to build what enterprise tools charge $50K/year for.”
“Most of the headline platforms require paid API keys from ScrapeCreators to actually work, so the 'zero-config' claim is misleading—you get Reddit and HN out of the box, which is not exactly a revelation. The 18k stars look suspiciously like another viral GitHub moment that won't translate to sustained usage.”
“51K stars in four days is impressive but data quality in aggregated news systems degrades fast — especially for military and conflict data where sources have varying reliability and obvious agendas. The AI summaries will confidently synthesize bad inputs into authoritative-sounding briefings. I'd be cautious about making any decisions based on WorldMonitor's risk scores without understanding what's underneath them.”
“The watchlist mode with scheduled monitoring is the feature that turns this from a one-off research tool into genuine trend intelligence infrastructure. As public discourse increasingly happens in fragmented, platform-specific bubbles, multi-source aggregation with convergence detection becomes essential signal.”
“We're watching the democratization of intelligence infrastructure in real time. Bloomberg terminals cost $24K/year and have no AI. Palantir requires an enterprise contract. WorldMonitor gives any researcher, journalist, or analyst access to a reasonably capable global monitoring platform for the cost of running Ollama locally. This is a category disruption.”
“For content creators trying to find what's actually resonating versus what's being pushed, the engagement velocity scoring is invaluable. Knowing that a prompt technique has 1000 upvotes spread over a week versus 1000 upvotes in 2 hours tells you completely different things about audience authenticity.”
“For journalists, documentary makers, and researchers, the 3D globe as a storytelling canvas alone is worth installing. Being able to pull up a real-time visual of conflict zones, cable infrastructure, or disease spread for a project — with AI summaries baked in — is a production tool I'd have paid good money for three years ago.”
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